The Architecture of Edge Computing

by | Dec 3, 2022 | Computing, Edge Computing

Preface – This post is part of the Edge Computing series.

Introduction

Edge computing occurs at or close to the physical location of the user or the data source. Users gain faster, more dependable services with better user experiences when computing services are closer to these areas. Businesses profit by being better able to support latency-sensitive applications, spot trends, and provide better goods and services. Edge computing is a method by which a company can scale centralized infrastructure to meet the demands of growing numbers of devices and data by using and distributing a shared pool of resources across many locations. Let us learn about different layers in the architecture of edge computing.

The Architecture of Edge Computing

The data is processed and is reserved much closer to the user devices to latency—the edge data centers with storage directly embedded over the machines near the request made by the user. There are different sets of layers which are having additional functionality to perform the applications fast and efficiently.

The first layer, or the top layer, is the cloud data center layer. This layer consists of a Central data center and regional data centers. They are the final representatives of the information that connects the central data center to the regional data center and are relied upon by local applications. The top layer is vital in edge computing architecture.

The next layer is known as the layer, consisting of data centers and internet gateways. It is located over a local area network or 5G network to make its processing excellent and smooth. The layer also consists of IoT or smart devices such as mobile phones, laptops, tablets, and many more that can communicate through a private network such as Bluetooth. Similarly, there could be as many edge data centers and devices as needed to facilitate business.

For example, if we require opening an additional branch of our business in different states or locations, the data must be identical to others. So the need is to be connected with every Store or business for the same data at every site. Here the architecture of Edge computing is utilized with several data centers needed for business in different locations. It is also known as the poss system for a business chain.

Database in Architecture

In the different layers, when the database server is installed in the Central data center and connected to the regional data center, the top layer is activated.

After that, the database server is installed in Adelaide and is directly connected with IoT devices by enabling the permission to process the data without any network failure, so the machines can now process the data efficiently.

Benefits of different layers in the architecture

  • Database installation and data processing become easy.
  • There is a guarantee that data will always be available even at the failure of the network and can never be lost.
  • As the data processing is distributed to the different layers, there is a high chance of getting more speed, bandwidth efficiency, and security.
  • At the time of network latency, the architecture will enable the user to get a highly responsive action for their data request. Hence resolves the issue of latency and increases customer satisfaction.
  • The data will be all time available and will be real-time responsive.

Conclusion

By distributing the work between different layers, the job for one layer becomes less and can be done fastly. There are many more benefits of the architecture of Edge computing, due to which the application efficiency and customer satisfaction have increased. Many real-time problems are the result, and data has become highly responsive. It is now easy to process data from any corner of the world.

 

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